This AI Knows When Your Graphic Design Is Good (Or Bad)

To train the AI, Morrison says that the company first recruited 500 people to record their perceptual reactions on a large set of banner ads. Based on their eye movements, the company could detect which ads caught viewers' attention and which ad didn't, rating each ad on a scale from 0 to 100. The company used that dataset to train a deep learning model built on top of an existing AI model, which had previously been trained with millions of images. Right now, EyeQuant can't cite specific reasons why the AI can be so accurate in its predictions. "We'd like to be able to isolate specific reasons for why one ad works better than another, or even to automatically generate eye-catching banners," says A.I. Engineer Peli Teloni, but right now they can only speculate why.